Research On Pavement Macro Texture Measurement And Evaluation Method Based On 3D Laser Technology

Good road surface texture condition is an important guarantee for pavement anti-skid performance and drainage performance.Manual testing is time-consuming and labor-intensive and has low repeatability.However,most of the researches verify the accuracy of the laser detection system through the correlation with the indicators obtained by manual operation,ignoring the influence of the laser itself on the macroscopic texture detection of the pavement.The detection results are difficult to accurately characterize the macro-texture characteristics.A large number of the same characteristic indicators that are not effectively classified also seriously affect the process of macro-texture evaluation and anti-slip performance research.Therefore,it is very necessary to carry out 3D laser research on the accuracy analysis and evaluation system of macro texture detection.In order to quantify the accuracy of laser detection of macro textures and accurately extract macro texture evaluation indicators,first,this paper established a registration method for laser point cloud data and ground truth data.Based on correlation coefficient and RMSE,an advanced indicator was found to quantify both the accuracy and precision of the laser imaging system.The effectiveness of the index was proven using grooving plate data collected by two equipment of different level of accuracy and precision,LS-40 and LCMS.While proving the feasibility of the method,it is also found that the accuracy of laser imaging can be affected by the scan direction and the focus location.Secondly,the outlier detection and smoothing algorithms on laser point cloud data are proposed,and macroscopic texture calibration plates of different scales are produced by 3D printing technology.Based on the advanced indicator,a method for determining the macroscopic texture detection range of different laser equipment is established,which is verified using erected home light equipment.Finally,this paper proposes different types of macro texture evaluation indicators and calculation methods,and makes different types of asphalt specimens for data collection.Through the calculation and analysis of macro texture evaluation indicators,the main factors that affect the macro texture size can be found which are asphalt type and maximum nominal particle size,and the correlation analysis between the each two indicators at the same time,the macro texture indicators can be divided into six categories according to the correlation size for macro texture evaluation.Research shows that the laser detection accuracy evaluation method and quantitative indicators mentioned in this paper can effectively determine the detection accuracy of macro textures and the detection range of laser equipment,make up for the deficiencies in the current research,and improve the processing algorithm of laser point cloud data.Established a macrotexture evaluation system based on correlation,which can evaluate macro-texture more efficiently and accurately,and lay a foundation for future research on anti-skid performance.